You can access the Firecrawl MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=agentify/firecrawl-mcp-server",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Firecrawl MCP Server

Get a ready-to-use configuration for your MCP client with the Firecrawl MCP Server Actor preconfigured at mcp.apify.com?tools=agentify/firecrawl-mcp-server .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Browserbase MCP Server

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A Model Context Protocol (MCP) server that provides browser automation capabilities using Browserbase.

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Playwright MCP Server

jiri.spilka/playwright-mcp-server

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Mcp Server Generator

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Tester MCP Client

jiri.spilka/tester-mcp-client

A model context protocol (MCP) client that connects to any MCP server using Streamable HTTP and displays the conversation in a chat-like UI. It is a standalone Actor server designed for testing MCP servers over Stremable HTTP.

Jiří Spilka

1.1K

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Playwright MCP Actor

aluminum_jam/playwright-mcp-actor

The Playwright MCP Actor integrates the robust browser automation capabilities of Playwright with the Model Context Protocol (MCP), enabling AI agents and language models to perform web scraping, testing, and automation tasks through a standardized interface.